[Tepix]

While the content was interesting, the AI-slop-stench was repelling.

Talking about AI (sorry!), perhaps an AI assisted screen reader could remove repetitive elements (it appends "(read only)" to every. single. field.) in a smart fashion? Does this already exist?

We're seeing AI being used to improve a11y in quite a few places: (Live) transcripts for video conferences, image to text (VQA, visual question answering) etc.

[zersiax]

No. There are certainly AI-generated accessibility solutions for single, existing applications, games and websites but no outright AI-powered screen reader. I'd think the token cost alone would make such a project prohibitively expensive, although one-off AI features are starting to sneak into JAWS and NVDA as we spaek, so who knows.

[fc417fc802]

It's not as though the task requires a frontier size LLM. A small on device model should suffice for most clean up.

But if you did want to run a full size model deepseek v4 flash is so cheap that I doubt even many hours of web browsing would have a noticeable cost.

[Tepix]

A relatively small and fast LLM (30b MoE) would probably suffice. It‘s something you can run locally with a nice GPU.

[RobMurray]

latency would be the killer. a very tiny delay between pressing a key and hearing a response can make a screen reader feel unresponsive.